ALBERT

Description: In a coupled system, predictive information flows from the causing to the caused variable. The amount of transferred predictive information can be quantified through the use of transfer entropy or, for Gaussian variables, equivalently via Granger causality. It is natural to expect and has been repeatedly observed that a tight coupling does not permit to reconstruct a causal connection between causing and caused variables. Here, we show that for a model of interacting social groups, carried from the master equation to the Fokker–Planck level, a residual predictive information flow can remain for a pair of uni-directionally coupled variables even in the limit of infinite coupling strength. We trace this phenomenon back to the question of how the synchronizing force and the noise strength scale with the coupling strength. A simplified model description allows us to derive analytic expressions that fully elucidate the interplay between deterministic and stochastic model parts.

Description: Scientific software takes on an increasingly prominent role in research. In particular in the sciences software has become an indispensable element in the research process. The way we handle software has a significant influence on the quality of research results, their traceability and reproducibility. In order to strengthen the recognition of scientific results achieved by software and to improve its visibility, the scientific community is actively working on concepts and solutions enabling researchers to publish software, cite it and be credited for it. For software to be a valuable and citeable contribution to science, the publication of scientific software must meet the quality criteria of the scientific discourse. As with data publication, defined processes and persistent identifiers should be used to make the results of research reproducible. Also, the specific needs of research have to be addressed and joined with experience gained in the field of development of free and open source software. A common understanding of handling scientific software with defined processes must be developed jointly. These processes have to address questions regarding quality assurance, versioning and documentation, traceability, reproducibility and reusability. Furthermore, the archiving of source code and executables, the use of persistent identifiers, and metrics measuring productivity, impact, and recognition have to be addressed. Especially when looking at software in the context of scientific publications only insufficient solutions exist to date. Even though it is possible to mint DOIs to identify archived source code copies, quality ensured by reviews is not addressed properly. But deserving credit for a software publication requires measures assessing the value of the published software. Subjectspecific reviews paired with softwarespecific expertise would open up new possibilities leveraging interdisciplinarity and the interplay of complementary scientific fields such as geosciences and computer science. Thus software publications and properly arranged reviews would foster the exchange in order to establish best practices from computer science in geosciences and to enhance subjectspecific software successively after its original publication.